{"id":"W4388073780","doi":"10.1002/mar.21934","title":"Beyond humans: Consumer reluctance to adopt zoonotic artificial intelligence","year":2023,"lang":"en","type":"article","venue":"Psychology and Marketing","topic":"AI in Service Interactions","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Task (project management); Context (archaeology); Cognition; Psychology; Cognitive psychology; Animal cognition; Computer science; Marketing; Business; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00265391,0.0001208173,0.0001439183,0.0003048963,0.0004880511,0.002096291,0.0002361862,0.000885896,0.004169793],"category_scores_gemma":[0.01199438,0.0001579538,0.0003098072,0.0003007863,0.001169972,0.001341581,0.0005363643,0.001121543,0.0002115482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006434206,"about_ca_system_score_gemma":0.0004122024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00442368,"about_ca_topic_score_gemma":0.005430247,"domain_scores_codex":[0.9988818,0.0004896173,0.00005677604,0.0001088715,0.0003926741,0.00007023051],"domain_scores_gemma":[0.9840187,0.009178795,0.004535289,0.0007106106,0.001113339,0.0004432442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001268115,0.0007176627,0.831283,0.0006917461,0.0003877312,0.001273327,0.0591938,0.0004738921,0.01218403,0.01138189,0.002635953,0.07850893],"study_design_scores_gemma":[0.00006041631,0.0006404301,0.9183696,0.0002745853,0.0002032826,0.0007049738,0.05709516,0.002692029,0.002510678,0.005752611,0.01160252,0.00009371089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936173,0.0001997438,0.0004013221,0.0006647748,0.000007040759,0.000008962839,0.00001708572,0.000005239058,0.005078589],"genre_scores_gemma":[0.9990795,0.0001254714,0.0001876127,0.0002401221,0.000004624332,0.000003883135,0.0000166297,0.000002158517,0.000340072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00442368,"threshold_uncertainty_score":0.0140354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04369162906086422,"score_gpt":0.3457097586479668,"score_spread":0.3020181295871026,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}